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Multipopulation Evolutionary Strategy HMS

0packages depend
2.2Kdownloads / year
75.7%test coverage
13/13flavors OK

Overview

About

The HMS (Hierarchic Memetic Strategy) is a composite global optimization strategy consisting of a multi-population evolutionary strategy and some auxiliary methods. The HMS makes use of a dynamically-evolving data structure that provides an organization among the component populations. It is a tree with a fixed maximal height and variable internal node degree. Each component population is governed by a particular evolutionary engine. This package provides a simple R implementation with examples of using different genetic algorithms as the population engines. References: J. Sawicki, M. Łoś, M. Smołka, J. Alvarez-Aramberri (2022) doi:10.1007/s11047-020-09836-w.

Changes in 1.0.1
  • sc_max_metric() uses centroids instead of sprouts (#54).
  • fix M1 mac failing tests.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMEYes · 252 wordsVignettesNoNEWSYes · 67% structured · mentions 1.0.1Citation fileNoWebsiteYes · pkgdown
Help pages
31
Examples that run
100%28 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #20,664 · ~6/day · ~180/mo
Daily download trend is not available in this view yet.
22330 days
64090 days
2.2K1 year
Compare downloads with other packages →
Also on65 r2u3 autocran

Repository

3Stars
0Forks
0Open issues
1Open PRs
2Releases
207Commits
2Commit identities
207 commits · Last activity 2024-03-13
Responsiveness
How these are sampled
PRs merged (all time)
93%
Median days to close, 50 most recently updated closed issues
14
Median days to close, 50 most recently updated closed PRs
1
PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/wojtacht/hms on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2024-03-13 · The repository has a site deploy workflow

pkgdown site last built 2024-03-13

Coverage (1)
Coverage reporting
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing hmsr adds 21 packages (14 with compiled code, 14 MB of source tarballs). Heaviest: GA 4.8 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (0)
none
Imports (5)
GAmsmmethodsuuidgraphics
LinkingTo (0)
none
Suggests (7)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 1.0.0 (2023)
Thesis advisor, Author
Java original
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1Latest
    record
    2023-10-25 · current release · diff ↗
  • 1.0.0
    record
    2023-10-12
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-10-12
Total releases
2 / 3 yrs
License
MIT + file LICENSE OSI
Download size
24 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hmsr")
Achtelik, W., AGH University of Kraków, Kozubek, M., & Smołka, M. (2023). hmsr: Multipopulation Evolutionary Strategy HMS (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.hmsr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for hmsr version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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